The Universal Bridge
for Generative AI
Retrivora AI connects any document to any LLM and Vector Database in minutes. Deploy enterprise-ready RAG with a single React widget & Next.js backend.
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From Documents to Intelligent Responses
A complete, production-ready RAG pipeline that connects your data to any AI model.
Ingest
Extract and prepare data
- Parse & Extract
- Chunking
- Metadata Enrichment
- OCR Processing
- Embeddings
Retrieve
Find relevant information
- Semantic Search
- Hybrid Search
- Metadata Filters
- Reranking
- Namespace Isolation
Retrivora Core
Orchestrate and augment context
- Context Assembly
- Conversation Memory
- Prompt Orchestrator
- Guardrails & Safety
- Caching & Optimization
- Knowledge Isolation
- Agent & Tool Integration
Generate
Leverage best AI models
- OpenAI (GPT-5)
- Anthropic (Claude)
- Google (Gemini)
- Meta (Llama)
- Mistral AI
- Ollama & More
Response
Grounded and reliable output
- Accurate
- Relevant
- Grounded
- Cited Sources
Model Agnostic
Use any LLM via unified API
Vector DB Agnostic
Connect to any vector database
Enterprise Ready
Security, scalability and compliance built-in
Developer Friendly
Simple SDK, JS/TS, Python & REST APIs
Observability
Monitor, trace and optimize every step
Plug & Play
Quick to start, easy to scale
Built for every layer of the stack
Swap providers without rewriting a single line of business logic.
Vector Store
Universal support for Pinecone, PGVector, MongoDB, Milvus, Qdrant, and more.
Embeddings
Seamlessly switch between OpenAI, Ollama, or custom embedding providers.
LLM Orchestration
Optimized inference across OpenAI, Anthropic, Gemini, and local LLMs.
Ready to supercharge
your RAG pipelines?
Join thousands of developers building production-ready RAG applications with Retrivora AI. Free forever, no credit card required.
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